Question

State and explain Cramer-Rao inequality.

Answer 1

In its simplest form, the bound states that the variance of any unbiased estimator is at least as high as the inverse of the Fisher information. ... In some cases, a biased approach can result in both a variance and a mean squared error that are below the unbiased Cramér–Rao lower bound; see estimator bias.